4 of 4 Retrieval-Augmented Generation Jobs in Chester

Data, AI & Intelligent Systems Expertise: Experience or strong interest in one or more of the following: Generative AI, LLMs, Retrieval Augmented Generation (RAG) and AI applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible ...

GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. ...

Tableau or Power BI. Experience using GitHub Copilot or other AI-assisted software development tools. Exposure to agentic AI, workflow orchestration or retrieval-augmented generation. Key responsibilities Design and develop scalable data pipelines using Python, PySpark, Apache Kafka and Apache NiFi. Integrate vendor platforms and enterprise ...

across an organisation. Data, AI & Intelligent Systems Expertise: Strong understanding of modern AI capabilities, including Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, and enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise ...